Key takeaways for IT leaders
As an IT director managing both on-prem and cloud-native environments, the hardest part about Kubernetes isn’t running containers — it’s managing the data they create. Stateful services, CI/CD artifacts, logs, and backups all force persistent storage into a world built for ephemeral compute. The result is ballooning capacity, uncontrolled snapshot and copy-data growth, fractured policies across silos, and outsized refresh and licensing costs that eat margin for mid-market enterprises and MSPs alike.
Traditional SAN/NAS or stitching together cloud block, file, and object storage with separate backup appliances and third-party plugins breaks down operationally and financially. Those models require heavy overprovisioning, manual lifecycle work, and multiple points of failure — they’re not designed to understand Kubernetes’ PVC/PV model, CSI drivers, or the difference between ephemeral and critically persistent data. The sensible strategic shift is toward intelligent data platforms — storage that is container-aware, policy-driven, and consolidates data services (snapshotting, replication, immutability, reduction) under a single control plane. Platforms like STORViX replace brittle silos with predictable costs, faster restores, and lifecycle control that aligns with compliance and MSP margin pressures.
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